Shorten the Distance from Data Visualization Idea to Actual Plot

Streamline the creation of common charts by taking care of a lot of data preprocessing and plot customization for the user. Provides a high-level interface to create plots using 'ggplot2'.


Reference manual

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0.2.1 by Thomas Neitmann, a year ago

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Authors: Thomas Neitmann [aut, cre] , Julia Silge [ctb, cph] , David Robinson [ctb, cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports colorspace, dplyr, lifecycle, magrittr, patchwork, rlang

Depends on ggplot2

Suggests gapminder, knitr, lintr, rmarkdown, scales, spelling, tibble, tidyr, testthat, vdiffr

See at CRAN